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[Education / Teaching] FREE SQL Training Starting Mar 27 |
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Company | Kumar Training | |
Address | Hopkins MN 55343 [Map] [Directions] | |
Description |
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Thank you to all FREE SQL Alumni you made me feel proud of you, seeing your high demand I am back with new batch starting Mar 27, my SQL allows the students to receive the highest quality of basic to advance SQL training My Name is Ranjan, I have more than 10 years of IT experience in BI area, I love sharing my knowledge, so far I have trained 710+ person in SQL using ORACLE, SQL Server, Teradata etc., I am going to start a new SQL batch starting 27th of Mar. Intended audience:
There will be 3 classes in a week and training will make you SQL expert in 4-5 weeks. This training will be covered using ORACLE and also below tools will be also covered during training: 1. Microsoft SQL server management studio 2. ORACLE SQL Developer I will help all candidate installing ORACLE and SQL Developer in your computer For your information: I am highly skilled SQL Trainer I will take online Classes through webex New Batch starting from Mar 27, 2018 at 7:00 PM CST There will total 12 to 14 classes (All classes are free) Interactive session with lot of real time examples Note: Don't miss learning Opportunities from a expert Volunteer Email : ranjan4training@gmail.com Agenda of FREE SQL training Overview of relational database management concepts and terminologies Retrieving Data using the SQL SELECT Statement Restricting and Sorting Data Using Single-Row Functions to Customize Output Using Conversion Functions and Conditional Expressions Reporting Aggregated Data Using the Group Functions Displaying Data From Multiple Tables Using Joins Using Subqueries to Solve Queries Using the SET Operators Managing Tables using DML statements Introduction to Data Definition Language Introduction to Data Dictionary Views Creating Sequences, Synonyms, Indexes Creating Views Grouping and Aggregating Data Using SQL Hierarchical Retrieval Analyzing and Reporting Data Using SQL Pattern Matching using SQL YES this is absolutely free with FULL satisfaction guarantee!!! Please email me at ranjan4training@gmail.com for registering your name. Many person ask this question. Why FREE training ? There are multiple reasons some of them are :
And also FREE High Quality Hadoop / BigData Training Starting Mid of OctAs per your high demand, I am launching again. Limited seat hurry-up... Just send an email to ranjan4training@gmail.com for registration Prerequisites Knowledge of SQL and any programming language (like C, C++, Java, Python etc.) are assumed, as is basic Linux command-line familiarity. Course Contents: Cloudera Distribution Hadoop Fundamentals Introduction to Hadoop Ecosystem Hadoop Distributed File System (HDFS) Scala Basic JAVA Spark Hive Sqoop Pig Impala Apache Kafka Flume Hadoop in the Cloud - Amazon Web Services (AWS) Who can join: Anyone who has minimum bachelor degree Anyone who knows at least one programming language like C, C++, Java, Python Anyone who is committed to learn -->Highly skilled BigData Trainer -->Online Classes through Webex -->Starting soon -->Three classes (Mon, Tue and Thus) in a week and two classes on weekend -->Total 30+ classes (The duration of this course is approx two month) -->All classes are free -->Interactive session with lot of live or real examples -->As this is FREE, think each class is real class -->All class id real class, no demo class Note: Don't miss learning Opportunities from a expert Volunteer Due to huge volume of call, I prefer only Email communication. If you want to know more about our Training & Placement Program then email me at ranjan4training@gmail.com Coming soon FREE Data Science Training Basics of R Programming What is R How to install R / R Studio ? How to install R packages ? Basics Of Statistics Data Types Stat Basics What is Hypothesis Testing Machine Learning What is ML and why it is Used Basics of ML What is Predective Modeling & why it is used What is text analytics & why it is used Regression Models (Linear Regression , Logistic Regression) Decession Trees Time Series Models Clustering techniques Boosting techniques Deep Learning & Neuralnet works and how they work Basic computations in R Essentials of R Programming Data Types and Objects in R Control Structures (Functions) in R Useful R Packages Exploratory Data Analysis in R Basic Graphs Treating Missing values Working with Continuous and Categorical Variables Data Manipulation in R Feature Engineering Label Encoding / One Hot Encoding Predictive Modeling using Machine Learning in R Linear Regression Logistic Regression Decision Tree Random Forest Thank, Ranjan
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Modify | Delete | Report a problem with this entry | Go Back | Last Updated: 03/18/18 | ||
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